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Diffstat (limited to 'doc/CNN_V2.md')
| -rw-r--r-- | doc/CNN_V2.md | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/doc/CNN_V2.md b/doc/CNN_V2.md index b3b6587..9407934 100644 --- a/doc/CNN_V2.md +++ b/doc/CNN_V2.md @@ -13,10 +13,13 @@ CNN v2 extends the original CNN post-processing effect with parametric static fe - Multi-frequency position encoding (NeRF-style) - Per-layer configurable kernel sizes (1×1, 3×3, 5×5) - Variable channel counts per layer -- Float16 weight storage (GPU-optimized) +- Float16 weight storage (~3.2 KB for 3-layer model) - Bias integrated as static feature dimension +- Storage buffer architecture (dynamic layer count) +- Binary weight format for runtime loading -**Status:** Design complete, ready for implementation +**Status:** ✅ Complete. Training pipeline functional, validation tools ready. +**TODO:** 8-bit quantization with QAT for 2× size reduction (~1.6 KB) --- |